Triple

T4360517
Position Surface form Disambiguated ID Type / Status
Subject Women's Land Army E98648 entity
Predicate alsoKnownAs P39 FINISHED
Object WLA
WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
 E433718 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WLA | Statement: [Women's Land Army, alsoKnownAs, WLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WLA
Context triple: [Women's Land Army, alsoKnownAs, WLA]
  • A. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • B. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. LAWA
    LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
  • E. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WLA
Triple: [Women's Land Army, alsoKnownAs, WLA]
Generated description
WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WLA
Target entity description: WLA is an acronym commonly used for the Women's Land Army, a civilian organization of women who worked in agriculture to support food production during wartime, particularly in the United Kingdom.
  • A. WLG
    WLG is the three-letter IATA airport code assigned to Wellington Airport, the main international gateway to New Zealand’s capital city.
  • B. WAL
    WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
  • C. LWL
    LWL is the vehicle registration code assigned to the Włodawa area in eastern Poland.
  • D. LAWA
    LAWA is the municipal agency that owns and operates Los Angeles’ system of airports, including Los Angeles International Airport (LAX).
  • E. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e3220881909dc9d02ab024abf5 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbf9db88190a3058e6a44080000 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc3e4c488190a06421cdb3b168c3 completed March 14, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69b5e0432bfc8190b18bbe918de1f297 completed March 14, 2026, 10:25 p.m.
Created at: March 12, 2026, 11:16 p.m.